Causes and consequences of variation in development time in a field cricket

2021 ◽  
Author(s):  
Susan N. Gershman ◽  
Owen G. Miller ◽  
Ian M. Hamilton
Keyword(s):  
Development Time ◽  
Field Cricket

Framework for Semantic Search Enabled Software Component Repository (SSESCR)

2018 ◽  
Author(s):  
Vishnu Sharma ◽  
Vijay Singh Rathore ◽  
Chandikaditya Kumawat
Keyword(s):  
Software Quality ◽  
Software Reuse ◽  
Development Time ◽  
Software Component ◽  
Semantic Search ◽  
Easy Access ◽  
Software Components ◽  
Efficient Search ◽  
Systematic Reuse ◽  
New System

Software reuse can improve software quality with the reducing cost and development time. Systematic reuse plan enhances cohesion and reduces coupling for better testability and maintainability. Software reuse approach can be adopted at the highest extent if relevant software components can be easily searched, adapted and integrated into new system. Large software industries hold their own well managed component libraries containing well tested software component with the project category based classification .Access to these repositories are very limited. Software reuse is facing so many problems and still not so popular. This is due to issues of general access, efficient search and adoption of software component. This paper propose a framework which resolves all of the above issues with providing easy access to components, efficient incremental semantics based search, repository management, versioning of components.

X-Ray Tomography for Electronic Packages

2000 ◽  
Author(s):  
Deepak Goyal
Keyword(s):  
3D Imaging ◽  
Development Time ◽  
Analytical Techniques ◽  
Electronic Packages ◽  
X Ray ◽  
Imaging Capability ◽  
Imaging Results ◽  
Key Drivers ◽  
Analytical Tools ◽  
Non Destructive

Abstract Next generation assembly/package development challenges are primarily increased interconnect complexity and density with ever shorter development time. The results of this trend present some distinct challenges for the analytical tools/techniques to support this technical roadmap. The key challenge in the analytical tools/techniques is the development of non-destructive imaging for improved time to information. This paper will present the key drivers for the non-destructive imaging, results of literature search and evaluation of key analytical techniques currently available. Based on these studies requirements of a 3D imaging capability will be discussed. Critical breakthroughs required for development of such a capability are also summarized.

Capability and Development Time Trade-off Analysis in Systems-of-Systems

2011 ◽  
Author(s):  
Muharrem Mane ◽  
Daniel DeLaurentis
Keyword(s):  
Development Time ◽  
Systems Of Systems ◽  
Trade Off

scholarly journals Balancing Selection on Electrophoretic Variation of Phosphoglucose Isomerase in Two Species of Field Cricket: Gryllus veletis and G. pennsylvanicus

Genetics ◽  
1997 ◽  
Vol 147 (2) ◽  
pp. 609-621
Author(s):  
Laura A Katz ◽  
Richard G Harrison
Keyword(s):  
Balancing Selection ◽  
Emergent Property ◽  
Phosphoglucose Isomerase ◽  
Field Cricket ◽  
Nucleotide Variation ◽  
Eastern United States ◽  
Electrophoretic Variation ◽  
Sympatric Populations ◽  
Field Crickets ◽  
Gryllus Veletis

Two species of crickets, Gryllus veletis and G. pennsylvanicus, share six electrophoretic mobility classes for the enzyme phosphoglucose isomerase (PGI), despite evidence from other genetic markers that the two species are not closely related within eastern North American field crickets. Moreover, the frequencies of the two most common PGI electrophoretic classes (PGI-100 and PGI-65) covary in sympatric populations of these species in the eastern United States, suggesting that PGI may be subject to trans-specific balancing selection. To determine the molecular basis of the electrophoretic variation, we characterized the DNA sequence of the Pgi gene from 29 crickets (15 G. veletis and 14 G. pennsylvanicus). Amino acid substitutions that distinguish the electrophoretic classes are not the same in the two species, and there is no evidence that specific replacement substitutions represent trans-specific polymorphism. In particular, the amino acids that diagnose the PGI-65 allele relative to the PGI-100 allele differ both between G. veletis and G. pennsylvanicus and within G. pennsylvanicus. The heterogeneity among electrophoretic classes that covary in sympatric populations coupled with analysis of patterns of nucleotide variation suggest that Pgi is not evolving neutrally. Instead, the data are consistent with balancing selection operating on an emergent property of the PGI protein.

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